metadata
license: mit
base_model: VietAI/vit5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: vit5-base-standardized-color
results: []
vit5-base-standardized-color
This model is a fine-tuned version of VietAI/vit5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6954
- Rouge1: 74.1444
- Rouge2: 67.6733
- Rougel: 73.6458
- Rougelsum: 73.7053
- Gen Len: 7.3623
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 472 | 0.7246 | 72.5851 | 65.9384 | 72.1305 | 72.0232 | 8.4407 |
| 1.0847 | 2.0 | 944 | 0.6714 | 73.9038 | 67.1961 | 73.5409 | 73.5136 | 6.214 |
| 0.5906 | 3.0 | 1416 | 0.6565 | 74.0155 | 67.4387 | 73.6696 | 73.6203 | 7.2754 |
| 0.464 | 4.0 | 1888 | 0.6696 | 74.3779 | 67.7236 | 73.9367 | 74.0007 | 7.214 |
| 0.389 | 5.0 | 2360 | 0.6954 | 74.1444 | 67.6733 | 73.6458 | 73.7053 | 7.3623 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3